Katheryn C. Twiss

59 total papers · 1.8k total citations
30 papers, 981 citations indexed

About

Katheryn C. Twiss is a scholar working on Paleontology, Archeology and Anthropology. According to data from OpenAlex, Katheryn C. Twiss has authored 30 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Paleontology, 17 papers in Archeology and 10 papers in Anthropology. Recurrent topics in Katheryn C. Twiss's work include Archaeology and ancient environmental studies (20 papers), Forensic Anthropology and Bioarchaeology Studies (8 papers) and Pleistocene-Era Hominins and Archaeology (8 papers). Katheryn C. Twiss is often cited by papers focused on Archaeology and ancient environmental studies (20 papers), Forensic Anthropology and Bioarchaeology Studies (8 papers) and Pleistocene-Era Hominins and Archaeology (8 papers). Katheryn C. Twiss collaborates with scholars based in United States, United Kingdom and Madagascar. Katheryn C. Twiss's co-authors include Nerissa Russell, Louise Martin, Amy Bogaard, Jessica Pearson, Michael Charles, Hijlke Buitenhuis, R.E.M. Hedges, Andrew Fairbairn, Dragana Filipović and Füsun Ertuğ and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Archaeological Science.

In The Last Decade

Katheryn C. Twiss

28 papers receiving 897 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katheryn C. Twiss 748 420 374 243 187 30 981
Nerissa Russell 785 1.0× 532 1.3× 376 1.0× 224 0.9× 256 1.4× 34 1.1k
Lucy Cramp 659 0.9× 434 1.0× 242 0.6× 185 0.8× 313 1.7× 37 1.1k
A. J. Legge 750 1.0× 484 1.2× 498 1.3× 133 0.5× 143 0.8× 22 1.1k
Jessica Pearson 743 1.0× 492 1.2× 311 0.8× 231 1.0× 372 2.0× 44 1.2k
Anita Radini 618 0.8× 455 1.1× 359 1.0× 159 0.7× 187 1.0× 35 999
Frank Hole 709 0.9× 480 1.1× 447 1.2× 99 0.4× 117 0.6× 47 1.1k
Philipp W. Stockhammer 537 0.7× 505 1.2× 248 0.7× 84 0.3× 156 0.8× 51 1.1k
Julie Dunne 531 0.7× 379 0.9× 240 0.6× 128 0.5× 189 1.0× 36 958
Daniel Helmer 568 0.8× 433 1.0× 362 1.0× 84 0.3× 166 0.9× 38 987
Patty Jo Watson 697 0.9× 316 0.8× 551 1.5× 173 0.7× 81 0.4× 56 1.2k

Countries citing papers authored by Katheryn C. Twiss

Since Specialization
Citations

This map shows the geographic impact of Katheryn C. Twiss's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katheryn C. Twiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katheryn C. Twiss more than expected).

Fields of papers citing papers by Katheryn C. Twiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katheryn C. Twiss. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katheryn C. Twiss. The network helps show where Katheryn C. Twiss may publish in the future.

Co-authorship network of co-authors of Katheryn C. Twiss

This figure shows the co-authorship network connecting the top 25 collaborators of Katheryn C. Twiss. A scholar is included among the top collaborators of Katheryn C. Twiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katheryn C. Twiss. Katheryn C. Twiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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